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AI-Based Clinical Orientation for Nursing Students (ClinicOrient)

3 maj 2026 uppdaterad av: Fatma Taş Arslan, Selcuk University

The Effects of an Artificial Intelligence-Based Clinical Orientation Program on Nursing Students Orientation Process in Pediatric Nursing Practice

Aim: This experimental study aims to investigate the impact of an Artificial Intelligence (AI)-based orientation program on the clinical orientation process of nursing students during their pediatric nursing clinical practice.Materials and Methods: The study population will consist of 186 third-year nursing students enrolled in the spring semester at a state university. The sample will include 90 students (45 intervention, 45 control) who meet the study criteria and volunteer to participate. Students in the intervention group will receive an AI-based clinical orientation program, while the control group will receive no additional intervention beyond the standard faculty and hospital orientation. Data will be collected between February and March 2026 using a "Descriptive Information Form," the "Clinical Adaptation Scale for Student Nurses," and the "Therapeutic Communication Skills Scale for Nursing Students" in a pre-test/post-test design.Statistical Analysis: Data will be analyzed using SPSS 25.0. Descriptive statistics (frequency, percentage, mean, and standard deviation) will be used. Normality will be assessed via Kolmogorov-Smirnov/Shapiro-Wilk tests. For group comparisons, Chi-square, ANOVA, independent samples t-test, Mann-Whitney U, and Wilcoxon tests will be utilized. The statistical significance level will be set at $p < 0.05$.Ethical Considerations: Ethical committee approval and necessary permissions from scale authors will be obtained before the study begins. Informed consent will be collected from all participants after explaining the study objectives.Keywords: Orientation training, nursing, student, artificial intelligence, clinical practice.

Studieöversikt

Status

Har inte rekryterat ännu

Betingelser

Studietyp

Interventionell

Inskrivning (Beräknad)

90

Fas

  • Inte tillämpbar

Kontakter och platser

Det här avsnittet innehåller kontaktuppgifter för dem som genomför studien och information om var denna studie genomförs.

Studiekontakt

Studieorter

    • Konya
      • Konya, Konya, Turkiet (Türkiye), 42250
        • Selcuk University
    • Selçuklu
      • Konya, Selçuklu, Turkiet (Türkiye), 42060
        • Selcuk University

Deltagandekriterier

Forskare letar efter personer som passar en viss beskrivning, så kallade behörighetskriterier. Några exempel på dessa kriterier är en persons allmänna hälsotillstånd eller tidigare behandlingar.

Urvalskriterier

Åldrar som är berättigade till studier

  • Vuxen
  • Äldre vuxen

Tar emot friska volontärer

Ja

Beskrivning

Inclusion Criteria:

  • Being enrolled in the Pediatric Nursing course for the first time.
  • Being a third-year nursing student.
  • Providing voluntary informed consent to participate in the study.

Exclusion Criteria:

  • Being absent during the course of the study.
  • Currently being employed as a healthcare professional.
  • Having a frozen enrollment status.

Studieplan

Det här avsnittet ger detaljer om studieplanen, inklusive hur studien är utformad och vad studien mäter.

Hur är studien utformad?

Designdetaljer

  • Primärt syfte: Övrig
  • Tilldelning: Randomiserad
  • Interventionsmodell: Parallellt uppdrag
  • Maskning: Ingen (Open Label)

Vapen och interventioner

Deltagargrupp / Arm
Intervention / Behandling
Inget ingripande: Control Group
Students who do not receive AI-supported orientation training.
Experimentell: Intervention Group (Artificial Intelligence-Based Clinical Orientation Program)
Students receiving AI-supported orientation training
The program was implemented via a researcher-developed website featuring seven modules: Therapeutic Communication, Patient Safety, Medical Equipment, Infection Control, Care Plans, Ethics/Privacy, and Stress Management. AI was utilized to develop scenarios, create audiovisual materials, and simulate realistic clinical environments. Each 5-minute video used no real patient data. A sequential progression was enforced, requiring completion of one module to start the next. Knowledge was assessed after each module via 5-10 Kahoot questions. A gamified approach was used where the fastest, most accurate students earned digital badges, with the top three overall being recognized as winners. Content validity was ensured through expert opinions from pediatric nursing faculty, and necessary adjustments were made based on their feedback.
Andra namn:
  • Interventionsgrupp

Vad mäter studien?

Primära resultatmått

Resultatmått
Åtgärdsbeskrivning
Tidsram
Introductory Information Form
Tidsram: Pre-test (before the AI-supported orientation training), post-test (2 weeks after the AI-supported orientation training), and follow-up test (2 months later).
The form was developed by the researchers in line with the relevant literature. The form consists of 3 sections and 8 questions: descriptive characteristics (age, gender, grade point average), information related to clinical adaptation (difficulty in adapting when first starting the clinical environment, difficulty in communicating with patients/families during clinical practice, and experiencing anxiety-stress before clinical practice), and information related to artificial intelligence (use of artificial intelligence programs and willingness to learn and use technological developments such as artificial intelligence).
Pre-test (before the AI-supported orientation training), post-test (2 weeks after the AI-supported orientation training), and follow-up test (2 months later).

Sekundära resultatmått

Resultatmått
Åtgärdsbeskrivning
Tidsram
Clinical Adaptation Scale for Student Nurses
Tidsram: Pre-test (before the AI-supported orientation training), post-test (2 weeks after the AI-supported orientation training), and follow-up test (2 months later).
The scale was to comprehensively evaluate the clinical adaptation of student nurses in clinical practice. It was adapted into Turkish. The scale has three subdimensions: Professional Development and Interpersonal Interaction, Clinical Competence and Confidence, and Coping and Support Strategies. It consists of 15 items in a 5-point Likert-type format. The total score ranges from 15 to 75. A higher score indicates better clinical adaptation. The scale does not have a defined cut-off point or reverse-coded items. The Cronbach's alpha coefficient of the scale is 0.91.
Pre-test (before the AI-supported orientation training), post-test (2 weeks after the AI-supported orientation training), and follow-up test (2 months later).

Andra resultatmått

Resultatmått
Åtgärdsbeskrivning
Tidsram
Therapeutic Communication Skills Scale for Nursing Students
Tidsram: Pre-test (before the AI-supported orientation training), post-test (2 weeks after the AI-supported orientation training), and follow-up test (2 months later).
The scale was to determine the therapeutic communication skills of nursing students. It has three subdimensions: Non-therapeutic Communication Skills, Therapeutic Communication Skills 1, and Therapeutic Communication Skills 2. The scale consists of 16 items in a 7-point Likert-type format (1 = Never, 4 = Sometimes, 7 = Always). There are no reverse-coded items in the scale. The maximum possible score is 168, and the minimum possible score is 24. The Cronbach's alpha value of the "Therapeutic Communication Skills Scale for Nursing Students" is 0.775.
Pre-test (before the AI-supported orientation training), post-test (2 weeks after the AI-supported orientation training), and follow-up test (2 months later).

Samarbetspartners och utredare

Det är här du hittar personer och organisationer som är involverade i denna studie.

Utredare

  • Huvudutredare: Fatma Tas Arslan, Selcuk University

Publikationer och användbara länkar

Den som ansvarar för att lägga in information om studien tillhandahåller frivilligt dessa publikationer. Dessa kan handla om allt som har med studien att göra.

Användbara länkar

Studieavstämningsdatum

Dessa datum spårar framstegen för inlämningar av studieposter och sammanfattande resultat till ClinicalTrials.gov. Studieposter och rapporterade resultat granskas av National Library of Medicine (NLM) för att säkerställa att de uppfyller specifika kvalitetskontrollstandarder innan de publiceras på den offentliga webbplatsen.

Studera stora datum

Studiestart (Beräknad)

30 april 2026

Primärt slutförande (Beräknad)

11 maj 2026

Avslutad studie (Beräknad)

11 juni 2026

Studieregistreringsdatum

Först inskickad

16 april 2026

Först inskickad som uppfyllde QC-kriterierna

26 april 2026

Första postat (Faktisk)

4 maj 2026

Uppdateringar av studier

Senaste uppdatering publicerad (Faktisk)

7 maj 2026

Senaste inskickade uppdateringen som uppfyllde QC-kriterierna

3 maj 2026

Senast verifierad

1 maj 2026

Mer information

Termer relaterade till denna studie

Ytterligare relevanta MeSH-villkor

Andra studie-ID-nummer

  • SU-Clinic Orient

Plan för individuella deltagardata (IPD)

Planerar du att dela individuella deltagardata (IPD)?

NEJ

Läkemedels- och apparatinformation, studiedokument

Studerar en amerikansk FDA-reglerad läkemedelsprodukt

Nej

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